Alexey Spizhevoy
15 years ago
parent
7df9aef99c
commit
faf4d0bc74
4 changed files with 442 additions and 12 deletions
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include <iostream> |
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#include <limits> |
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#include "gputest.hpp" |
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#define CHECK(pred, err) if (!(pred)) { \ |
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ts->printf(CvTS::LOG, "Fail: \"%s\" at line: %d\n", #pred, __LINE__); \
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ts->set_failed_test_info(err); \
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return; } |
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using namespace cv; |
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using namespace std; |
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struct CV_GpuBitwiseTest: public CvTest |
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{ |
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CV_GpuBitwiseTest(): CvTest("GPU-BitwiseOpers", "bitwiseMatOperators") {} |
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void run(int) |
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{ |
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int rows, cols; |
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for (int depth = CV_8U; depth <= CV_64F; ++depth) |
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for (int cn = 1; cn <= 4; ++cn) |
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for (int attempt = 0; attempt < 5; ++attempt) |
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{ |
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rows = 1 + rand() % 100; |
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cols = 1 + rand() % 100; |
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test_bitwise_not(rows, cols, CV_MAKETYPE(depth, cn)); |
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test_bitwise_or(rows, cols, CV_MAKETYPE(depth, cn)); |
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test_bitwise_and(rows, cols, CV_MAKETYPE(depth, cn)); |
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test_bitwise_xor(rows, cols, CV_MAKETYPE(depth, cn)); |
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} |
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} |
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void test_bitwise_not(int rows, int cols, int type) |
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{ |
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Mat src(rows, cols, type); |
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RNG rng; |
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for (int i = 0; i < src.rows; ++i) |
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{ |
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Mat row(1, src.cols * src.elemSize(), CV_8U, src.ptr(i)); |
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rng.fill(row, RNG::UNIFORM, Scalar(0), Scalar(255)); |
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} |
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Mat dst_gold = ~src; |
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gpu::GpuMat dst = ~gpu::GpuMat(src); |
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CHECK(dst_gold.size() == dst.size(), CvTS::FAIL_INVALID_OUTPUT); |
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CHECK(dst_gold.type() == dst.type(), CvTS::FAIL_INVALID_OUTPUT);
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Mat dsth(dst); |
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for (int i = 0; i < dst_gold.rows; ++i)
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CHECK(memcmp(dst_gold.ptr(i), dsth.ptr(i), dst_gold.cols * dst_gold.elemSize()) == 0, CvTS::FAIL_INVALID_OUTPUT) |
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} |
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void test_bitwise_or(int rows, int cols, int type) |
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{ |
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Mat src1(rows, cols, type); |
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Mat src2(rows, cols, type); |
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RNG rng; |
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for (int i = 0; i < src1.rows; ++i) |
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{ |
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Mat row1(1, src1.cols * src1.elemSize(), CV_8U, src1.ptr(i)); |
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rng.fill(row1, RNG::UNIFORM, Scalar(0), Scalar(255)); |
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Mat row2(1, src2.cols * src2.elemSize(), CV_8U, src2.ptr(i)); |
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rng.fill(row2, RNG::UNIFORM, Scalar(0), Scalar(255)); |
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} |
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Mat dst_gold = src1 | src2; |
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gpu::GpuMat dst = gpu::GpuMat(src1) | gpu::GpuMat(src2); |
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CHECK(dst_gold.size() == dst.size(), CvTS::FAIL_INVALID_OUTPUT); |
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CHECK(dst_gold.type() == dst.type(), CvTS::FAIL_INVALID_OUTPUT);
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Mat dsth(dst); |
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for (int i = 0; i < dst_gold.rows; ++i)
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CHECK(memcmp(dst_gold.ptr(i), dsth.ptr(i), dst_gold.cols * dst_gold.elemSize()) == 0, CvTS::FAIL_INVALID_OUTPUT) |
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} |
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void test_bitwise_and(int rows, int cols, int type) |
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{ |
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Mat src1(rows, cols, type); |
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Mat src2(rows, cols, type); |
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RNG rng; |
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for (int i = 0; i < src1.rows; ++i) |
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{ |
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Mat row1(1, src1.cols * src1.elemSize(), CV_8U, src1.ptr(i)); |
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rng.fill(row1, RNG::UNIFORM, Scalar(0), Scalar(255)); |
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Mat row2(1, src2.cols * src2.elemSize(), CV_8U, src2.ptr(i)); |
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rng.fill(row2, RNG::UNIFORM, Scalar(0), Scalar(255)); |
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} |
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Mat dst_gold = src1 & src2; |
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gpu::GpuMat dst = gpu::GpuMat(src1) & gpu::GpuMat(src2); |
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CHECK(dst_gold.size() == dst.size(), CvTS::FAIL_INVALID_OUTPUT); |
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CHECK(dst_gold.type() == dst.type(), CvTS::FAIL_INVALID_OUTPUT);
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Mat dsth(dst); |
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for (int i = 0; i < dst_gold.rows; ++i)
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CHECK(memcmp(dst_gold.ptr(i), dsth.ptr(i), dst_gold.cols * dst_gold.elemSize()) == 0, CvTS::FAIL_INVALID_OUTPUT) |
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} |
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void test_bitwise_xor(int rows, int cols, int type) |
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{ |
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Mat src1(rows, cols, type); |
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Mat src2(rows, cols, type); |
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RNG rng; |
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for (int i = 0; i < src1.rows; ++i) |
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{ |
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Mat row1(1, src1.cols * src1.elemSize(), CV_8U, src1.ptr(i)); |
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rng.fill(row1, RNG::UNIFORM, Scalar(0), Scalar(255)); |
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Mat row2(1, src2.cols * src2.elemSize(), CV_8U, src2.ptr(i)); |
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rng.fill(row2, RNG::UNIFORM, Scalar(0), Scalar(255)); |
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} |
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Mat dst_gold = src1 ^ src2; |
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gpu::GpuMat dst = gpu::GpuMat(src1) ^ gpu::GpuMat(src2); |
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CHECK(dst_gold.size() == dst.size(), CvTS::FAIL_INVALID_OUTPUT); |
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CHECK(dst_gold.type() == dst.type(), CvTS::FAIL_INVALID_OUTPUT);
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Mat dsth(dst); |
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for (int i = 0; i < dst_gold.rows; ++i)
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CHECK(memcmp(dst_gold.ptr(i), dsth.ptr(i), dst_gold.cols * dst_gold.elemSize()) == 0, CvTS::FAIL_INVALID_OUTPUT) |
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} |
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} gpu_bitwise_test; |
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